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awesome-cs-books

经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-spiking-neural-networks

A paper list of spiking neural networks with computer vision, including papers, codes, and related websites.

awesome-streamlit

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

awesome-visual-transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

benchmark_results

visual tracker benchmark results

bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

brainpy

BrainPy: A general platform for computational neuroscience and brain-inspired computation

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

commai-env

A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - http://arxiv.org/abs/1511.08130

computation-thru-dynamics

Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.

cornet

[NeurIPS2019] CORnet: Modeling the Neural Mechanisms of Core Object Recognition

cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

cs231

My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition

cs231n

cs231n assignments

cusnn

Spiking Neural Networks in C++ with strong GPU acceleration through CUDA

data-science-notes

数据科学的笔记以及资料搜集

decolle-quantization

Hessian Aware Quantization of the DECOLLE Spiking Neural Network

deconvolution

deep-compression-alexnet

Deep Compression on AlexNet

deep-learning

:computer:深度学习实战：手写数字识别、Discuz验证码识别、垃圾分类、语义分割

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearningbook

MIT Deep Learning Book in PDF format

deepmar_deploy

Deploy version of DeepMAR from "Multi-attribute learning for pedestrian attribute recognition".

deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.